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Ml Data Associate Jobs in Boston, MA (NOW HIRING)

KPMG US

Senior Associate, AI Engineer

Boston, MA · On-site

$60 - $77.50/hr

They are seeking a Senior Associate, AI Engineer to develop AI applications and models, assist with ... Required : • Minimum three years of recent professional or academic experience in AI/ML, data ...

Bayer

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site

$64K - $65K/yr

The purpose of the Associate Director is to lead and deliver cross-functional Data Science ... Collaborate with data scientists, ML engineers, and domain experts to translate research prototypes ...

Bayer

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site +1

$64K - $65K/yr

The purpose of the Associate Director is to lead and deliver cross-functional Data Science ... Collaborate with data scientists, ML engineers, and domain experts to translate research prototypes ...

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All JobsMl Data Associate JobsMl Data Associate Jobs in Boston, MA

Ml Data Associate information

See Boston, MA salary details

$62.5K

$73.9K

$140.1K

How much do ml data associate jobs pay per year?

As of Aug 14, 2026, the average yearly pay for ml data associate in Boston, MA is $73,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $64,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

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For Ml Data Associate jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Ml Data Associate jobs in Boston, MA look for?

The top searched job categories for Ml Data Associate jobs in Boston, MA are:

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Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $73,917 per year, or $35.5 per hour.

Research PhD Scientist, Drug Discovery Data for AI/ML

StaffRight Associates, LLC

Boston, MA • On-site

$250K - $400K/yr

Other

Posted 4 days ago

Job description

***While this position is posted in the Boston market to maximize regional outreach and exposure, the role is physically located in New York City. The successful candidate will be based in NYC to support local operations and team integration.Practice Group: ML Data Team / Quantitative Research & Technology

About the Role:

Innovation in quantitative science and high-performance computing requires more than data—it demands world-class infrastructure, sophisticated modeling, and flawless execution. StaffRight Associates is recruiting for an elite talent for a premier global quantitative investment and technology firm. We are seeking an exceptional PhD Scientist, Drug Discovery Data for AI/ML to join a highly collaborative, intellectually rigorous team where computational excellence is the standard.

This is a high-impact position designed for a driven problem-solver who thrives at the intersection of complex architecture, advanced algorithms, and real-world execution.

Key Responsibilities:

  • Architect & Build: Design, identify, curate, and analyze proprietary scientific datasets (primarily chemical and biological) to shape and implement the firms overarching drug discovery data strategy.

  • Data & Research Execution: Translate complex scientific datasets and abstract biological/chemical challenges into clear, scalable, high-performance frameworks to support machine learning models.

  • Systemic Optimization: Identify technical friction points in data curation pipelines, eliminate bottlenecks, and enhance operational velocity across high-concurrency computational environments.

  • Cross-Functional Collaboration: Serve as a key technical interface, working directly with machine learning researchers, computational scientists, and leadership to support internal and collaborative drug discovery programs.

What You Bring:

  • Academic Pedigree: Ph.D. in Medicinal Chemistry, Pharmacology, Biology, or a related STEM discipline.

  • Technical Mastery: Strong command of core concepts and tools such as Chemical Datasets, Biological Datasets, Assay Development, Linux, Python, Molecular Dynamics, and Machine Learning.

  • Analytical Precision: Proven track record of solving multi-faceted problems, supported by hands-on laboratory experience in an industry setting (5+ years in pharmaceutical or biotech companies preferred).

  • Agile Mindset: Ability to balance rigorous scientific standards with fast-paced, autonomous execution under pressure in an interdisciplinary environment.

  • Compensation & Work Schedule

    • Base Salary: $250,000 – $400,000 annually, plus variable compensation (sign-on and year-end bonuses) and full benefits including relocation assistance.

    • Work Model: Hybrid schedule (In-Office Tuesday through Thursday; Option to work from home Monday and Friday).

Why Apply Through StaffRight Associates?

At StaffRight Associates, we specialize in placing elite technical talent into industry-defining roles. Partnering with us gives you:

  • Direct Access: We work to put your profile directly in front of the hiring decision-makers, bypassing automated ATS filters.

  • Transparent Guidance: Comprehensive insight into the interview process, technical expectations, and firm culture.

  • Confidential Representation: Your background and candidacy are handled with total discretion at every step.

Apply